Senior Machine Learning Engineer-Remote

Overview

Need Senior Machine Learning Engineer-Remote

Location: Washington, DC (Remote)

Duration: 12+ Months

Key Responsibilities:

• Maintain, optimize, and enhance existing document and image processing systems for code prediction.
• Collaborate with cross-functional teams to gather business requirements and translate them into ML solutions.
• Monitor system performance and proactively troubleshoot document/image model issues.
• Design and conduct machine learning experiments specific to document and image analysis, interpret results, and fine-tune models for performance.
• Apply advanced ML techniques to improve document image classification, layout analysis, and document structure understanding.
• Integrate transformer-based models with OCR pipelines to improve text extraction from images.
• Use AWS Sage Maker Studio for training, deploying, and monitoring document/image processing models.
• Implement AutoML techniques (e.g., Auto Gluon, AWS AutoML) to automate model selection and optimization in document/image use cases.
• Apply TF-IDF and other text feature extraction methods to support NLP-driven document classification.
• Stay current with the latest advancements in document and image processing within the ML/AI space and integrate applicable improvements.

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
• 10+ years of experience in machine learning with a strong focus on document and image processing.
• Proven experience building and optimizing ML systems in document processing, OCR, and image understanding.
• Proficiency in Python and ML libraries like Tensor Flow and PyTorch.
• Hands-on experience with Microsoft DiT or similar transformer models tailored to document image understanding.
• Deep understanding of self-supervised learning approaches applied to document and image pre-training.
• Proficient in OpenCV for image preprocessing tasks such as resizing, feature extraction, and noise reduction.
• Practical experience with AWS Sage Maker ecosystem and AutoML tools such as Sage Maker Autopilot.
• Familiarity with Auto Gluon for streamlining model optimization and pipeline automation in image/text use cases.
• Experience applying NLP techniques like TF-IDF to text extracted from document images.
• Strong grasp of cloud platforms (AWS, Azure) and containerization tools like Docker.
• Excellent analytical, communication, and cross-functional collaboration skills.

Northite Inc

Hampton, New Jersey 08827

Web-Link:  / - Equal Opportunity Employer - Connecting Talent with Right Opportunities.